{"as_of":"2026-08-08T10:35:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5d1886b50e389ecc4c5ef2b94d36f24fcc233fd5613bab1e8387ae7924a1c5fc","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":1,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T11:21:48.456484Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-06T11:21:49.341680Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2101.00267","last_updated":"2021-01-01T16:44:37Z","snapshot_observed_at":"2026-07-06T10:29:21.742425Z","submitted_at":"2021-01-01T16:44:37Z","title":"Sage: Using Unsupervised Learning for Scalable Performance Debugging in Microservices","version":1},"cited_work":{"arxiv_id":"2101.00267","doi":null,"metadata_source":"pith","pith_arxiv_id":"2101.00267","snapshot_observed_at":"2026-08-06T11:21:49.341680Z","title":"Sage: Using Unsupervised Learning for Scalable Performance Debugging in Microservices","venue":"cs.DC","work_id":"e45c34b1-2384-4132-a17b-9938be647075","year":2021},"citing_paper":{"arxiv_id":"2507.22800","last_updated":"2025-07-30T16:03:21Z","snapshot_observed_at":"2026-08-08T09:57:09.399844Z","submitted_at":"2025-07-30T16:03:21Z","title":"The Multi-Agent Fault Localization System Based on Monte Carlo Tree Search Approach","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T11:21:48.456484Z"},"links":{"cited_paper":"/paper/2101.00267","citing_paper":"/paper/2507.22800"},"observation_digest":"sha256:a68bc5acb276a8806a013e940419d3c678a42056c09148dd0d89644e7c6cf4d3","observation_id":"9e1c8b20-1269-4e79-a64f-1244813008a8","resolution":{"observed_at":"2026-08-06T11:21:49.426047Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2101.00267/citation-record","integrity":"/paper/2101.00267/integrity","json":"/paper/2101.00267/citation-record.json","paper":"/paper/2101.00267"},"outbound":[],"paper":{"arxiv_id":"2101.00267","last_updated":"2021-01-01T16:44:37Z","latest_version":1,"primary_category":"cs.DC","snapshot_observed_at":"2026-07-06T10:29:21.742425Z","submitted_at":"2021-01-01T16:44:37Z","title":"Sage: Using Unsupervised Learning for Scalable Performance Debugging in Microservices"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2101.00267."}